No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.

• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

Role description

Create analytics content based on specifications created by the company's business analysts. Design and write reports based on an in-depth knowledge of operational system usage. This level of knowledge requires a deep understanding of system build, end user workflows, and patterns of use. The candidate shall have both the technical skills required to design and write reports and the operational knowledge to help them understand what report consumers need to see.

Responsibilities

• Configuring and maintaining the system databases according to the environment strategy
• Engaging in capacity planning exercises to ensure adequate system resources
• Monitoring database size and health
• Creating and managing plans for maintaining statistics and indexes
• Understanding performance metrics, monitoring system performance, and troubleshooting issues
• Following vendor and Epic best practices for hardware and software configuration
• Meeting with Cogito Process Analysts (PA) and report requesters (SMEs) to understand their data needs
• Identifying and reviewing the appropriate technological solutions for various reporting needs
• Creating reports, using a third-party report writing tool such as Crystal reports, to display data
• Writing SQL for custom SQL metrics
• Modifying existing reports, as necessary
• Distributing reports to report consumers using Epic-Crystal integration
• Reviewing peer reports for validity
• Testing report build in a specified testing environment and volume testing in live environments
• Reviewing upgrade documentation related to system features and released system reporting content, and determining how to implement the changes

Might also be responsible for building:

• Universes and cubes
• Extracts
• SlicerDicer
• Third-party tools (WebI/QlikView/Tableau)

Requirements / Qualifications

• A degree in engineering, physics, computer sciences, math, information systems, or statistics
• At least 3 - 5 years’ experience in data analyst position. Open to fresh graduates too.
• Strong communication skills
• Critical thinking and an analytical mind
• Technically proficient in your analytical database platforms
• Working knowledge of the database operating systems
• Proficiency with SQL and relational database concepts
• Proficiency and demonstrated experience with report writing tools
• Familiarity with Epic applications and database structure, through training that occurs early in the implementation
• Ability to gain an in-depth understanding of the data model through data model classes geared toward content areas
• Ability to understand data structures that could benefit the entire reporting environment
• Epic Certified is an advantage
• Speaks business level English language with confidence.

Please note that successful applicants will be required to undergo an assessment as part of the selection process.

Details will be provided to shortlisted candidates.

EA Licence No: 11C5502 | EAP Registration No: R22109400 Arwin Kaur

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

Qualifications:

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.
• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

Key Responsibilities:

• Responsible for Data and Analytics product and ensure timeline and quality of it's delivery.
• Leading Development Operations team of technical experts to ensure ongoing and future integrity of Data and Analytics delivery in APAC.
• Align with data transformation, data governance, and data platform teams to ensure that all delivery is in line with central and regional standards.
• Communicate proactively with stakeholders on development progress, risk, and timeline. Collaborate with Product Owner to resolve roadblocks to ensure stakeholders satisfaction.
• Initiate and propose new ideas to product owner to drive implementation of data transformation and data analytics product strategy.
• Collaborate with Business Analyst to gather, clarify and estimate timeline of Data Analytics use cases requirement from business teams.
• Incorporate standard operation processes to ensure operability of live data products complied to Service Level Agreement agreed with stakeholders.

Qualification:

• Master in Computer Science, Mathematics, IT or equivalent degree
• Min. 3 years of relevant functional experience
• Exposure to agile ways of working (Scrum, KANBAN, and scaled frameworks like LeSS, SAFe, DA, Scrum Nexus, etc.)
• Hands-on experience in agile software engineering environments is a bonus
• Strong leadership and people management skills
• Expert knowledge of Cloud technology (AWS is a plus), Data Analytics, Data Visualization, and Machine Learning

Interested candidates please email your resume to [email protected]

We regret only shortlisted candidates will be notified.

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Data warehouse or ETL is required for this role.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4 (EA: 94C3609/ R1219669)

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Math educators who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Broad Function

• Support the department in the application of analytical and statistical knowledge in deployment of tools to transform data into insights to facilitate decision making, leading to the achievement of the company long term vision in providing effective and efficient healthcare services to the population.

Key Roles & Responsibilities

• Work with stakeholders within the organisation, external healthcare institutions and external entities to explore and identify opportunities to leverage on data to drive business solutions.
• Support organisational reporting and dashboarding roadmap implementation.
• Apply Data Analytics and Operations Research knowledge to transform data into insights to drive optimisation and improvement of business strategies.
• Develop data processing automation through programming and other tools such as Robotics Process Automation to improve productivity.
• Participate in strategy formulation to enable and catalyse the department in meeting its KPIs.
• Maintain current organisational Enterprise Data Warehouse and plan for replatform to future Data Lake to enable stakeholder access to accurate and high-quality data for analysis and reporting.
• Operationalisation of Data Exchange Office (DXO) to handle internal and external data requests and perform Trusted Third Party (TTP) Data Anonymisation when required.

Education / Training / Experience

• Relevant bachelor degree in the field of Mathematics, Statistics, Computer Science, Software Engineering, Economics, Business, Data Science or related field
• Working experience in health or healthcare related industry and held a role in Business Intelligence, Systems Integration, Data Warehouse Management, Data Science or Data Engineering related areas.
• Relevant experience in non-healthcare related industries will be considered.
• Strong analytical, communication and problem solving skills
• Good team player
• Ability to perform and complete stretched tasks within tight deadlines

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!
Interested candidates please submit your resume to [email protected]

Jace Choo Oi Kei
Personnel EA License No.: R1875164
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Grow your Career with SearchAsia as a Specialist Recruiter

A career with SearchAsia is more than just a day job. It's an opportunity to be part of an organization that tackles real business issues, and most importantly, places its staff at the forefront and provides an environment for you to succeed and grow your career.

How your career could grow in SearchAsia

· Empowerment – We believe that everyone has his/her own strengths which can be manifested in various forms. All our staff are given opportunities to take the lead in projects, and are encouraged to think out-of-the-box. From such intricate processes, our staff develop their expertise and in turn share it with the rest of the organization.

· Mentoring DNA – With our intrinsic and proven mentoring program to help new hires swing in onto the job, you have plenty of support while in the spotlight. There are a multitude of skills required in this job, and you will develop them under the guidance of experienced mentors as well as structured training and development plans.

· Meritocracy – We reward our staff based on performance and not on seniority. Talent and hard work are the most rocking attributes. You get rewarded based on the results you bring to the table.

· Regional Exposure – There are multiple career paths at SearchAsia, including the opportunity to expand your horizons across major Asian cities where we operate.

The Role of a Specialist Recruiter

From day one, you will be challenged to handle full suite of recruitment services – from business development and client prospecting, to networking with potential candidates and be responsible in ensuring excellence in recruitment process delivery. Basically, you will be the Subject Matter Expert around business development pitches, candidate sourcing methodologies and recruitment process excellence in your area of specialisation.

Responsibilities

· Conduct telemarketing to generate new business leads in your specialized industry sector

· Exceed client expectations by building robust relationships and a detailed understanding of each client’s organisation and recruitment needs.

· Perform full lifecycle of executive search process comprising of sourcing, networking, qualifying, salary negotiation, interviewing and on-boarding

· Network with Senior Executives to source for mid to high level positions

· Pre-screen candidate applications and resumes for required skills, experience, and knowledge to fit position requirements. Make referrals to hiring manager and ensures efficient turn-around activity.

· Keep abreast of industry trends and business economies

Requirements:

• Minimum Degree in ANY Discipline
• Min. 1 to 3 years of relevant working experience in sales and marketing field
• Applicants with good track record in sports or other co-curricular activities in school will have an added advantage
• You must be resourceful, self-motivated and have a 'never-give-up' attitude
• Being passionate about people is essential. You must enjoy meeting and discovering diverse types of people and also work hard towards fostering a strong professional relationship with your clients and candidates.

About Us

As part of the region’s largest Consultancy Group, SearchAsia is a prominent Executive Search company that partners many of the big players in the market and offers top-notch consultancy services to the management teams. Our proven search process and broad industry expertise helmed by solid leadership have enabled successful placements in many multinational companies and Asian conglomerates in key Asian cities including Singapore, Hong Kong, Beijing, Shanghai, Kuala Lumpur and Jakarta.

At SearchAsia, we strongly believe in fair employment practices and hiring based on merit and company fit. This has won us the accolade of the Fastest Growing 50 companies in Singapore (2016) and the Human Capital Partner for Employment Agencies (HCP EA) (2020) awarded by TAFEP and Ministry of Manpower.

With over 1000 consultants across 10 cities in Asia Pacific, we are a valuable member of the public-listed HRnetGroup of companies on the Singapore Stock Exchange.

You will find highly motivated and amazing people, working together in a spirit of collaboration that is simply contagious. We believe in the effectiveness of team synergy and we place paramount importance in incorporating team work in our daily work. We advocate our teams to maintain work-life harmony and often promote team activities to establish closer bonds.

If you are interested to be part of our growth engine in Asia Pacific region, drop us an email to explore your career with us.

Ms. Jocelyn Ho Wen Mun
[email protected]

SearchAsia Consulting Pte Ltd

EA Licence No: 16S8107

EA Personnel No: R1658156

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Data Entry Clerk | Up to $2.1k | Penjuru (moving to Senoko in 2025)

Basic Salary - $1800 to $2100
Working Days - Mon to Fri + alt sat (8.30am to 5.30pm/8.30am to 12.30pm)
Working Location - Penjuru rd (moving to Senoko in 2025)

Jobscopes:

• Order processing - to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Data warehouse or ETL is required for this role.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4 (EA: 94C3609/ R1219669)